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AHIMA RHIA Exam - Topic 4 Question 67 Discussion

Posted by Judy on Mar 22, 2023 at 01:58 AM

You and your colleague are designing a study to try to determine the ideal mean cost for discretionary service. You will market your service to a very large population. Your colleague thinks you will get the best data if you take lots of small samples. You think the data will be neat reliable if you take one or two very large samples.

Suggested Answer: C

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40 comments · newest first
JO
Joanna 11 months ago
Not sure about that, I feel like stratified sampling is key here.
DU
Dusti 11 months ago
Totally agree with the large samples approach!
BE
Berry 12 months ago
Wait, are we sure small samples are better?
VE
Venita 12 months ago
I think large samples are definitely more reliable.
TI
Tijuana 12 months ago
Small samples can capture more variability!
IL
Iluminada 1 year ago
I vaguely remember something about stratified sampling being important for reliability, but I can't remember the details.
LE
Leslie 1 year ago
I feel like both methods have their merits, but I can't recall if one is definitively better than the other.
RE
Rene 1 year ago
I think we practiced a question where multiple small samples provided a better estimate of the population mean. That might support my colleague's view.
LI
Lizbeth 1 year ago
I remember discussing how larger samples can reduce variability, but I'm not sure if that outweighs the benefits of smaller samples.
LE
Leatha 1 year ago
I'm pretty confident the answer is Tagged. That allows them to add more VLANs without changing the underlying infrastructure.
CA
Carmen 1 year ago
This looks like a pretty straightforward question. I'll start by reading through the options carefully and thinking about which ones seem like the main functions of the Enterprise Host Security HSS.
AN
Angella 1 year ago
Okay, I think I've got this. I'll double-click the SmartArt graphic to make sure the SmartArt Tools and Design tabs are visible, and then I'll apply the Soft Round bevel shape effect from the Overview section.
VA
Vanesa 1 year ago
I recall practicing with the Webex Directory Connector, but I think it was more about synchronizing user info rather than creating accounts.
KR
Kristin 1 year ago
Hmm, I'm a bit confused about the difference between the Tl-LFA and how it applies to OSPF areas versus instances. I'll need to review that part of the material again.
TO
Tommy 1 year ago
You know, if you really want reliable data, you should just ask the 8-ball. It's got all the answers, and it's way more fun than doing actual statistics.
AL
Alison 1 year ago
Wait, we're supposed to use stratified sampling? What is this, Statistics 101? Clearly, the only way to get reliable results is to consult a psychic and let them choose the sampling method. Anything else is just guesswork.
SH
Shawn 1 year ago
↳ replying to Alison
D) You are equally wrong---unles you use stratified sampling, you cannot expect reliable
CH
Chun 1 year ago
↳ replying to Alison
C) You are equally correct---there is little difference in the reliability of these sampling methods.
WY
Wynell 1 year ago
↳ replying to Alison
B) You are right---the means of a few large samples will yield more reliable results.
SI
Silvana 1 year ago
↳ replying to Alison
A) Your colleague is right---the mean of multiple samples will yield more reliable results.
CA
Casey 1 year ago
Hmm, I'm not sure there's a clear-cut right answer here. Both approaches have their merits, and I can see valid arguments for either side. I might just flip a coin and go with whichever one it lands on.
AR
Arlyne 1 year ago
↳ replying to Casey
Hmm, I'm not sure there's a clear-cut right answer here. Both approaches have their merits, and I can see valid arguments for either side. I might just flip a coin and go with whichever one it lands on.
NO
Nobuko 1 year ago
↳ replying to Casey
B) You are right---the means of a few large samples will yield more reliable results.
TI
Timmy 1 year ago
↳ replying to Casey
A) Your colleague is right---the mean of multiple samples will yield more reliable results.
CA
Cammy 1 year ago
Nah, I'm going with my gut on this one. Taking a few large samples will give us a much cleaner and more reliable data set. Who needs all those pesky small samples anyway?
JA
Janella 1 year ago
↳ replying to Cammy
A) Your colleague is right---the mean of multiple samples will yield more reliable results.
TA
Tanesha 1 year ago
↳ replying to Cammy
B) You are right---the means of a few large samples will yield more reliable results.
LE
Levi 1 year ago
↳ replying to Cammy
A) Your colleague is right---the mean of multiple samples will yield more reliable results.
PR
Providencia 1 year ago
I think my colleague's idea of taking multiple small samples is the way to go. The law of large numbers tells us that the mean of multiple samples will converge to the true population mean. Bigger isn't always better in this case.
GE
Gertude 1 year ago
↳ replying to Providencia
C) You are equally correct---there is little difference in the reliability of these sampling methods.
DE
Dean 1 year ago
↳ replying to Providencia
A) Your colleague is right---the mean of multiple samples will yield more reliable results.
JE
Jerry 1 year ago
↳ replying to Providencia
B) You are right---the means of a few large samples will yield more reliable results.
SE
Serina 1 year ago
↳ replying to Providencia
A) Your colleague is right---the mean of multiple samples will yield more reliable results.
MA
Margot 1 year ago
↳ replying to Providencia
B) You are right---the means of a few large samples will yield more reliable results.
GE
Genevive 1 year ago
↳ replying to Providencia
A) Your colleague is right---the mean of multiple samples will yield more reliable results.
LU
Luis 1 year ago
↳ replying to Providencia
B) You are right---the means of a few large samples will yield more reliable results.
CA
Carlee 1 year ago
↳ replying to Providencia
A) Your colleague is right---the mean of multiple samples will yield more reliable results.
GI
Giovanna 2 years ago
I'm not sure, maybe both methods have their own advantages and disadvantages.
AD
Adelle 2 years ago
I disagree, I believe that taking lots of small samples will yield more reliable results.
SE
Sena 2 years ago
I think taking one or two very large samples will give us more reliable results.
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